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Related Experiment Video

Updated: May 24, 2025

Three-Dimensional Finger Motion Tracking during Needling: A Solution for the Kinematic Analysis of Acupuncture Manipulation
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Multi-Camera Hand Motion Analysis For Puncture Technique Training.

Zhe Li, Aya Kanazuka, Atsushi Hojo

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 3, 2025
    PubMed
    Summary

    This study introduces a new camera-based system for non-contact tracking of hand movements during injection training. It offers objective feedback to improve medical students

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    Area of Science:

    • Medical Education
    • Biomedical Engineering
    • Computer Vision

    Background:

    • Current injection training feedback relies on subjective physician evaluations, lacking objective precision measures.
    • Wearable sensors for motion tracking are costly and can impede student performance.
    • There is a need for objective, non-invasive methods to assess injection technique in medical training.

    Purpose of the Study:

    • To develop and validate a novel non-contact system for tracking finger movements during simulated injection training.
    • To provide objective, precise, and reliable feedback for enhancing medical students' injection skills.
    • To overcome the limitations of subjective feedback and cumbersome wearable sensors.

    Main Methods:

    • Utilized a MediaPipe Hand-based system with four cameras for non-contact finger movement tracking.
    • Reconstructed a 3D hand model during simulated injections, addressing finger occlusion issues.
    • Validated system accuracy and precision against a high-precision motion capture system (VICON).

    Main Results:

    • The system demonstrated robustness in tracking finger joint lengths.
    • The system achieved high precision in evaluating finger joint positions compared to VICON.
    • Objective data on hand injection techniques were successfully collected from ten medical students.

    Conclusions:

    • The proposed MediaPipe Hand-based system offers an objective and accurate method for injection skill assessment.
    • This technology can significantly enhance the quality and standardization of clinical injection training.
    • The system provides a cost-effective and non-intrusive alternative to existing feedback mechanisms.